The global cognitive automation market size is expected to rise with an impressive CAGR and generate the highest revenue by 2032.
The on data science platforms Market, which provides a business strategy, research & development activities, concise outline of the market valuation, valuable insights pertaining to market share, size, supply chain analysis, competitive landscape and regional proliferation of this industry.
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Report Scope of the Cognitive Automation Market
| Report Coverage | Details |
| Base Year | 2021 |
| Forecast Period | 2022 to 2030 |
| By Type |
|
| By End Users |
|
| Companies Mentioned | Automation Anywhere, Blue Prism, Edge Verve Systems Ltd., FPT Software, KOFAX, Inc., NICE, NTT Advanced Technology Corp., OnviSource, Inc., Pegasystems, UiPath |
A recent report provides crucial insights along with application based and forecast information in the Global Data science platforms Market. The report provides a comprehensive analysis of key factors that are expected to drive the growth of this market. This study also provides a detailed overview of the opportunities along with the current trends observed in the Data science platforms market.
A quantitative analysis of the industry is compiled for a period of 10 years in order to assist players to grow in the market. Insights on specific revenue figures generated are also given in the report, along with projected revenue at the end of the forecast period.
Companies and Manufacturers Covered
The study covers key players operating in the market along with prime schemes and strategies implemented by each player to hold high positions in the industry. Such a tough vendor landscape provides a competitive outlook of the industry, consequently existing as a key insight. These insights were thoroughly analysed and prime business strategies and products that offer high revenue generation capacities were identified. Key players of the global Data science platforms market are included as given below:
Data science platforms Market Key Players
- Automation Anywhere
- Blue Prism
- Edge Verve Systems Ltd.
- FPT Software
- KOFAX, Inc.
- NICE
- NTT Advanced Technology Corp.
- OnviSource, Inc.
- Pegasystems
- UiPath
Market Segments
By Type
- Robotic Process Automation
- Intelligent Automation
By End Users
- BFSI
- Pharma & Healthcare
- Retail & Consumer Goods
- Information Technology (IT) & Telecom
- Communication and Media & Education
- Manufacturing
- Logistics and Energy & Utilities
- Others
By Geography
- North America
- U.S.
- Canada
- Europe
- U.K.
- Germany
- France
- Asia-Pacific
- China
- India
- Japan
- South Korea
- Malaysia
- Philippines
- Latin America
- Brazil
- Rest of Latin America
- Middle East & Africa (MEA)
Report Objectives
- To define, describe, and forecast the global data science platforms market based on product, and region
- To provide detailed information regarding the major factors influencing the growth of the market (drivers, opportunities, and industry-specific challenges)
- To strategically analyze micromarkets1 with respect to individual growth trends, future prospects, and contributions to the total market
- To analyze opportunities in the market for stakeholders and provide details of the competitive landscape for market leaders
- To forecast the size of market segments with respect to four main regions—North America, Europe, Asia Pacific and the Rest of the World (RoW)2
- To strategically profile key players and comprehensively analyze their product portfolios, market shares, and core competencies3
- To track and analyze competitive developments such as acquisitions, expansions, new product launches, and partnerships in the data science platforms market
Table of Content
Chapter 1. Introduction
1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
Chapter 2. Research Methodology
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations
Chapter 3. Executive Summary
3.1. Market Snapshot
Chapter 4. Market Variables and Scope
4.1. Introduction
4.2. Market Classification and Scope
4.3. Industry Value Chain Analysis
4.3.1. Raw Material Procurement Analysis
4.3.2. Sales and Distribution Channel Analysis
4.3.3. Downstream Buyer Analysis
Chapter 5. COVID 19 Impact on Cognitive Automation Market
5.1. COVID-19 Landscape: Cognitive Automation Industry Impact
5.2. COVID 19 - Impact Assessment for the Industry
5.3. COVID 19 Impact: Global Major Government Policy
5.4. Market Trends and Opportunities in the COVID-19 Landscape
Chapter 6. Market Dynamics Analysis and Trends
6.1. Market Dynamics
6.1.1. Market Drivers
6.1.2. Market Restraints
6.1.3. Market Opportunities
6.2. Porter’s Five Forces Analysis
6.2.1. Bargaining power of suppliers
6.2.2. Bargaining power of buyers
6.2.3. Threat of substitute
6.2.4. Threat of new entrants
6.2.5. Degree of competition
Chapter 7. Competitive Landscape
7.1.1. Company Market Share/Positioning Analysis
7.1.2. Key Strategies Adopted by Players
7.1.3. Vendor Landscape
7.1.3.1. List of Suppliers
7.1.3.2. List of Buyers
Chapter 8. Global Cognitive Automation Market, By Type
8.1. Cognitive Automation Market, by Type, 2022-2030
8.1.1. Robotic Process Automation
8.1.1.1. Market Revenue and Forecast (2017-2030)
8.1.2. Intelligent Automation
8.1.2.1. Market Revenue and Forecast (2017-2030)
Chapter 9. Global Cognitive Automation Market, By End Users
9.1. Cognitive Automation Market, by End Users, 2022-2030
9.1.1. BFSI
9.1.1.1. Market Revenue and Forecast (2017-2030)
9.1.2. Pharma & Healthcare
9.1.2.1. Market Revenue and Forecast (2017-2030)
9.1.3. Retail & Consumer Goods
9.1.3.1. Market Revenue and Forecast (2017-2030)
9.1.4. Information Technology (IT) & Telecom
9.1.4.1. Market Revenue and Forecast (2017-2030)
9.1.5. Communication and Media & Education
9.1.5.1. Market Revenue and Forecast (2017-2030)
9.1.6. Manufacturing
9.1.6.1. Market Revenue and Forecast (2017-2030)
9.1.7. Logistics and Energy & Utilities
9.1.7.1. Market Revenue and Forecast (2017-2030)
9.1.8. Others
9.1.8.1. Market Revenue and Forecast (2017-2030)
Chapter 10. Global Cognitive Automation Market, Regional Estimates and Trend Forecast
10.1. North America
10.1.1. Market Revenue and Forecast, by Type (2017-2030)
10.1.2. Market Revenue and Forecast, by End Users (2017-2030)
10.1.3. U.S.
10.1.3.1. Market Revenue and Forecast, by Type (2017-2030)
10.1.3.2. Market Revenue and Forecast, by End Users (2017-2030)
10.1.4. Rest of North America
10.1.4.1. Market Revenue and Forecast, by Type (2017-2030)
10.1.4.2. Market Revenue and Forecast, by End Users (2017-2030)
10.2. Europe
10.2.1. Market Revenue and Forecast, by Type (2017-2030)
10.2.2. Market Revenue and Forecast, by End Users (2017-2030)
10.2.3. UK
10.2.3.1. Market Revenue and Forecast, by Type (2017-2030)
10.2.3.2. Market Revenue and Forecast, by End Users (2017-2030)
10.2.4. Germany
10.2.4.1. Market Revenue and Forecast, by Type (2017-2030)
10.2.4.2. Market Revenue and Forecast, by End Users (2017-2030)
10.2.5. France
10.2.5.1. Market Revenue and Forecast, by Type (2017-2030)
10.2.5.2. Market Revenue and Forecast, by End Users (2017-2030)
10.2.6. Rest of Europe
10.2.6.1. Market Revenue and Forecast, by Type (2017-2030)
10.2.6.2. Market Revenue and Forecast, by End Users (2017-2030)
10.3. APAC
10.3.1. Market Revenue and Forecast, by Type (2017-2030)
10.3.2. Market Revenue and Forecast, by End Users (2017-2030)
10.3.3. India
10.3.3.1. Market Revenue and Forecast, by Type (2017-2030)
10.3.3.2. Market Revenue and Forecast, by End Users (2017-2030)
10.3.4. China
10.3.4.1. Market Revenue and Forecast, by Type (2017-2030)
10.3.4.2. Market Revenue and Forecast, by End Users (2017-2030)
10.3.5. Japan
10.3.5.1. Market Revenue and Forecast, by Type (2017-2030)
10.3.5.2. Market Revenue and Forecast, by End Users (2017-2030)
10.3.6. Rest of APAC
10.3.6.1. Market Revenue and Forecast, by Type (2017-2030)
10.3.6.2. Market Revenue and Forecast, by End Users (2017-2030)
10.4. MEA
10.4.1. Market Revenue and Forecast, by Type (2017-2030)
10.4.2. Market Revenue and Forecast, by End Users (2017-2030)
10.4.3. GCC
10.4.3.1. Market Revenue and Forecast, by Type (2017-2030)
10.4.3.2. Market Revenue and Forecast, by End Users (2017-2030)
10.4.4. North Africa
10.4.4.1. Market Revenue and Forecast, by Type (2017-2030)
10.4.4.2. Market Revenue and Forecast, by End Users (2017-2030)
10.4.5. South Africa
10.4.5.1. Market Revenue and Forecast, by Type (2017-2030)
10.4.5.2. Market Revenue and Forecast, by End Users (2017-2030)
10.4.6. Rest of MEA
10.4.6.1. Market Revenue and Forecast, by Type (2017-2030)
10.4.6.2. Market Revenue and Forecast, by End Users (2017-2030)
10.5. Latin America
10.5.1. Market Revenue and Forecast, by Type (2017-2030)
10.5.2. Market Revenue and Forecast, by End Users (2017-2030)
10.5.3. Brazil
10.5.3.1. Market Revenue and Forecast, by Type (2017-2030)
10.5.3.2. Market Revenue and Forecast, by End Users (2017-2030)
10.5.4. Rest of LATAM
10.5.4.1. Market Revenue and Forecast, by Type (2017-2030)
10.5.4.2. Market Revenue and Forecast, by End Users (2017-2030)
Chapter 11. Company Profiles
11.1. Automation Anywhere
11.1.1. Company Overview
11.1.2. Product Offerings
11.1.3. Financial Performance
11.1.4. Recent Initiatives
11.2. Blue Prism
11.2.1. Company Overview
11.2.2. Product Offerings
11.2.3. Financial Performance
11.2.4. Recent Initiatives
11.3. Edge Verve Systems Ltd.
11.3.1. Company Overview
11.3.2. Product Offerings
11.3.3. Financial Performance
11.3.4. Recent Initiatives
11.4. FPT Software
11.4.1. Company Overview
11.4.2. Product Offerings
11.4.3. Financial Performance
11.4.4. Recent Initiatives
11.5. KOFAX, Inc.
11.5.1. Company Overview
11.5.2. Product Offerings
11.5.3. Financial Performance
11.5.4. Recent Initiatives
11.6. NICE
11.6.1. Company Overview
11.6.2. Product Offerings
11.6.3. Financial Performance
11.6.4. Recent Initiatives
11.7. NTT Advanced Technology Corp
11.7.1. Company Overview
11.7.2. Product Offerings
11.7.3. Financial Performance
11.7.4. Recent Initiatives
11.8. OnviSource, Inc.
11.8.1. Company Overview
11.8.2. Product Offerings
11.8.3. Financial Performance
11.8.4. Recent Initiatives
11.9. Pegasystems
11.9.1. Company Overview
11.9.2. Product Offerings
11.9.3. Financial Performance
11.9.4. Recent Initiatives
11.10. UiPath
11.10.1. Company Overview
11.10.2. Product Offerings
11.10.3. Financial Performance
11.10.4. Recent Initiatives
Chapter 12. Research Methodology
12.1. Primary Research
12.2. Secondary Research
12.3. Assumptions
Chapter 13. Appendix
13.1. About Us
13.2. Glossary of Terms
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